Spatial and temporal distribution characteristics of Paris polyphylla var. yunnanensis and the prediction of steroidal saponins content

IF 6.2 1区 农林科学 Q1 AGRICULTURAL ENGINEERING Industrial Crops and Products Pub Date : 2025-05-01 Epub Date: 2025-03-11 DOI:10.1016/j.indcrop.2025.120840
Chen Zhong , Li Li , Yuan-Zhong Wang
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Abstract

The dried rhizome of Paris polyphylla var. yunnanensis (PPVY) can be utilized in medicine, exhibiting the efficacies of clearing away heat and toxins and alleviating swelling and pain. However, as an important traditional medicinal plant, the ecological factors that promote distribution and its geographical distribution pattern are still unclear. To assess the influences of ecological determinants on suitable habitats, the species distribution ensemble platform (Biomod2) and maximum entropy (MaxEnt) models were established to project the spatial and temporal distribution patterns of PPVY under various climate scenarios. On this basis, machine learning was combined with ultra-performance liquid chromatography (UPLC) and Fourier transform infrared spectroscopy (FT-IR) to assess the nuances of PPVY chemical composition in different regions, and spectrochemical characterization of steroidal saponins was also modelled for the sustainable supply of PPVY. The experimental results showed that under the current climatic conditions, the main suitable habitats of PPVY were mainly concentrated in southwest China, especially in Yunnan, Sichuan, and Guizhou provinces. With the change in the climate, the suitable habitat area of PPVY will expand to higher elevations and latitudes in the future. The long short-term memory network (LSTM) model had better prediction performance for the five important steroidal saponins, and 1D-MSC-SG is the dominant preprocessing method for model building. In terms of practical application, the results of this study aim to provide guidance for the scientific cultivation and quality evaluation of PPVY. Agribusinesses can harness the predicted suitable habitats for optimal planting area selection to improve the yield and quality of PPVY. In the pharmaceutical industry, the developed spectrochemical characterization models can be used to rapidly assess the quality of PPVY raw materials, which plays an essential role in ensuring the efficacy and safety of PPVY.

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云南多叶林的时空分布特征及甾体皂苷含量预测
云南巴黎木(PPVY)干根茎具有清热解毒、消肿止痛的功效,具有药用价值。然而,作为一种重要的传统药用植物,促进其分布的生态因子及其地理分布格局尚不清楚。为了评估生态决定因素对适宜生境的影响,建立了物种分布集合平台(Biomod2)和最大熵(MaxEnt)模型,预测了不同气候情景下PPVY的时空分布格局。在此基础上,将机器学习与超高效液相色谱(UPLC)和傅里叶变换红外光谱(FT-IR)相结合,评估不同地区PPVY化学成分的差异,并为PPVY的可持续供应建立了类固醇皂苷的光谱化学表征模型。试验结果表明,在当前气候条件下,PPVY的主要适宜生境主要集中在西南地区,尤以云南、四川和贵州为主。随着气候的变化,未来PPVY的适宜栖息地将向更高的海拔和纬度扩展。长短期记忆网络(LSTM)模型对5种重要甾体皂苷具有较好的预测效果,1D-MSC-SG是建立模型的主要预处理方法。在实际应用方面,本研究结果旨在为PPVY的科学培育和质量评价提供指导。农业企业可以利用预测的适宜生境进行最优种植面积选择,以提高PPVY的产量和质量。在制药行业,所建立的光谱化学表征模型可用于快速评价PPVY原料的质量,对保证PPVY的疗效和安全性起着至关重要的作用。
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来源期刊
Industrial Crops and Products
Industrial Crops and Products 农林科学-农业工程
CiteScore
9.50
自引率
8.50%
发文量
1518
审稿时长
43 days
期刊介绍: Industrial Crops and Products is an International Journal publishing academic and industrial research on industrial (defined as non-food/non-feed) crops and products. Papers concern both crop-oriented and bio-based materials from crops-oriented research, and should be of interest to an international audience, hypothesis driven, and where comparisons are made statistics performed.
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